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https://github.com/eshaasg/malicious-link-detection
🕵🏼 A malicious link detector built using a Random Forest classifier achieves a 95% F1 score, providing accurate identification of harmful URLs. It leverages feature analysis to distinguish between safe and malicious links, ensuring robust online safety.
https://github.com/eshaasg/malicious-link-detection
machine-learning random-forest-classifier
Last synced: 14 days ago
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🕵🏼 A malicious link detector built using a Random Forest classifier achieves a 95% F1 score, providing accurate identification of harmful URLs. It leverages feature analysis to distinguish between safe and malicious links, ensuring robust online safety.
- Host: GitHub
- URL: https://github.com/eshaasg/malicious-link-detection
- Owner: eshaasg
- Created: 2024-12-11T18:41:10.000Z (23 days ago)
- Default Branch: main
- Last Pushed: 2024-12-11T19:06:20.000Z (23 days ago)
- Last Synced: 2024-12-11T19:48:12.013Z (23 days ago)
- Topics: machine-learning, random-forest-classifier
- Language: Jupyter Notebook
- Homepage:
- Size: 18.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0